aRtsy (version 0.2.4)

canvas_blacklight: Draw Blacklights

Description

This function draws Blacklights on a canvas using a Support Vector Machine (SVM) algorithm. SVM's are a type of supervised learning algorithm that can be used for classification and regression purposes. The main goal of the SVM technique is to find a hyperplane (decision boundary) that best separates the values in the training dataset. This function draws the predictions from the SVM algorithm fitted on a randomly generated continuous training data set.

Usage

canvas_blacklight(
  colors,
  n = 1000,
  resolution = 500
)

Value

A ggplot object containing the artwork.

Arguments

colors

a string or character vector specifying the color(s) used for the artwork.

n

a positive integer specifying the number of random data points to generate.

resolution

resolution of the artwork in pixels per row/column. Increasing the resolution increases the quality of the artwork but also increases the computation time exponentially.

Author

Koen Derks,

References

https://en.wikipedia.org/wiki/Support-vector_machine

See Also

colorPalette

Examples

# \donttest{
set.seed(1)

# Simple example
canvas_blacklight(colors = colorPalette("tuscany2"))
# }